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How LLMs Actually Work

Adults 18+

Live Online Workshop

14/07/2026 - 14/07/2026
5:30 PM - 7:00 PM
$0 - $29
Online Eastern Daylight Time,
Toronto

Most people use AI tools daily without understanding what's actually happening under the hood.

This gap creates real problems: over-trust, under-use, and poor tool choices. In this workshop, learners will build a working mental model of how LLMs generate outputs, where their knowledge comes from, what "temperature" and "context windows" actually mean in practice, and why the same prompt produces different answers across Claude, Gemini etc.

Using a guided comparative output exercise, participants will run identical prompts across multiple models and analyze the differences. The session closes with a practical triage framework for choosing between models and genAI tools based on the work in front of them.

This workshop is presented in partnership with IBM. Workshop participants will gain access to the IBM Cybersecurity certificate after attending this session

This event is pay-what-you-can with a recommended donation of $29. This event is included as part of Career Collective membership.

Following our recent merger, registrations are now managed through Ampere's website. Our workshops continue to run online as usual, just a new place to sign up! The 'register' button will take you directly to Ampere’s website where you can sign up.

About This Program

Who this is for

"I'm curious about technology and the tech sector"
“I use technology in my role, but I’m afraid of falling behind”
“Digital skills haven’t been a big part of my job yet, but I think they could make my job better”
“I’m looking for new tech-related skills to support my career growth”
“I have an understanding of the evolving tech landscape, but need professionals to connect with to make decisions about my place in it”
“I’m interested in networking and learning with others"

This event is open to all adults 18+, with a focus on supporting those from equity-deserving communities who continue to be underrepresented in the tech sector and in tech-enabled roles. These communities include those who identify as cis women, trans women, trans men, non-binary people, as well as Black, Indigenous and Racialized people, newcomers and people from low-income communities.